Dear Members,
I am using mri_glmfit for the first time with the .fsgd file below, however, I am receiving the following error: ERROR: matrix is ill-conditioned or badly scaled, condno = 1e+08 -------------------------------- Possible problem with experimental design: Check for duplicate entries and/or lack of range of continuous variables within a class.
I have also pasted the design matrix below as I cannot figure out what is wrong with it. I would really appreciate if anyone could help me this issue. Also note that I am running this for just a subset of my total data set as a test before I run it on my full data set.
Thank you very much for your help,
Sinead
GroupDescriptorFile 1 Title MIR137 Class TGFemale Class TGMale Class TTFemale Class TTMale
Variables Age Input CON3140/001 TGFemale 37 Input CON3891/001 TTFemale 33 Input CON4664/001 TTFemale 40 Input CON5591/001 TTMale 41 Input CON7009/001 TGMale 21 Input CON7024/001 TTMale 59 Input CON7038/001 TTMale 56 Input CON7050/001 TTMale 30 Input CON7054/001 TTMale 43 Input CON7055/001 TTMale 43 Input CON7072/001 TTFemale 41 Input CON7082/001 TTFemale 29 Input CON7087/001 TTFemale 23 Input CON7090/001 TGFemale 59 Input CON7092/001 TTFemale 21 Input CON9004/001 TGFemale 28 Input CON9009/001 TTMale 42 Input CON9040/001 TTMale 56 Input CON9064/001 TTMale 55 Input CON9069/001 TGFemale 54 Input CON9070/001 TTFemale 55 Input CON9081/001 TTFemale 50 Input CON9091/001 TTMale 27 Input CON9093/001 TTMale 54 DefaultVariable Age
Normalized matrix condition is 1e+08 Design matrix ------------------ 1.000 0.000 0.000 0.000 37.000 0.000 0.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 33.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 40.000 0.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 41.000; 0.000 1.000 0.000 0.000 0.000 21.000 0.000 0.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 59.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 56.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 30.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 43.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 43.000; 0.000 0.000 1.000 0.000 0.000 0.000 41.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 29.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 23.000 0.000; 1.000 0.000 0.000 0.000 59.000 0.000 0.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 21.000 0.000; 1.000 0.000 0.000 0.000 28.000 0.000 0.000 0.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 42.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 56.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 55.000; 1.000 0.000 0.000 0.000 54.000 0.000 0.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 55.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 50.000 0.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 27.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 54.000;